Book description
Set up automated workflows to keep systems and applications consistent globally, regardless of architecture, cloud, or container runtime Purchase of the print or Kindle book includes a free PDF eBook
Key Features
- Automate building and modifying complex software images across multiple OSs and container engines
- Minimize cost by keeping your systems ready across multiple architectures, including ARM and future RISC-V processors
- Speed up your time to market by building and testing apps using upstream and future releases
Book Description
Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers.
The book begins by showing you how to create your first manifest while helping you understand the available components. You’ll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You’ll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you’ll build on your initial manifest for a local application that’ll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you’ll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins.
By the end of this book, you’ll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration.
What you will learn
- Build and maintain consistent system images across multiple platforms
- Create machine images that can be used in multiple environments
- Write a spec for a local Packer virtual machine in JSON and HCL
- Build a container image with Packer in different formats
- Automate Packer with continuous delivery pipelines
- Discover how to customize Packer by writing plugins
Who this book is for
This book is for DevOps engineers, Cloud engineers, and teams responsible for maintaining platform and application images for enterprise private, hybrid, or multi-cloud environments. Familiarity with operating systems and virtualization concepts, with or without using a cloud provider, is a prerequisite.
Table of contents
- HashiCorp Packer in Production
- Foreword
- Contributors
- About the author
- About the reviewers
- Preface
- Part 1: Packer’s Beginnings
- Chapter 1: Packer Fundamentals
- Chapter 2: Creating Your First Template
- Chapter 3: Configuring Builders and Sources
-
Chapter 4: The Power of Provisioners
- Technical requirements
- Configuring communicators
- Injecting your config or artifacts
- Seeding a file or directory into your image once booted
- Using templates to populate configuration resources with variables
- Running a script or job across all builders
- Developing provisioners with the null builder
- Summary
- Chapter 5: Logging and Troubleshooting
- Part 2: Managing Large Environments
- Chapter 6: Working with Builders
- Chapter 7: Building an Image Hierarchy
-
Chapter 8: Scaling Large Builds
- Technical requirements
- Speeding up your builds with parallel processes
- Preventing parallel processes from causing DoS
- Troubleshooting logs in a parallel world
- Using image compression
- Selecting a compression algorithm for Packer images
- Selecting the right storage type for the image lifecycle
- Building delta and patch strategies
- Summary
- Part 3: Advanced Customized Packer
- Chapter 9: Managing the Image Lifecycle
- Chapter 10: Using HCP Packer
- Chapter 11: Automating Packer Builds
- Chapter 12: Developing Packer Plugins
- Index
- Other Books You May Enjoy
Product information
- Title: HashiCorp Packer in Production
- Author(s):
- Release date: July 2023
- Publisher(s): Packt Publishing
- ISBN: 9781803246857
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